Lexicon generation for emotion detection from text.
- Submitting institution
-
Robert Gordon University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- Wiratunga_4
- Type
- D - Journal article
- DOI
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10.1109/MIS.2017.22
- Title of journal
- IEEE Intelligent Systems
- Article number
- -
- First page
- 102
- Volume
- 32
- Issue
- 1
- ISSN
- 1541-1672
- Open access status
- Compliant
- Month of publication
- February
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
-
- Research group(s)
-
-
- Citation count
- 30
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper appears in the IEEE intelligent systems special issue on affective computing and sentiment analysis. The novel lexicon generative algorithm led to a KTP (https://info.ktponline.org.uk/action/details/partnership.aspx?id=10641) with AskSenti Ltd. where the jointly learnt language model was transferred from affective lexicons to sentiment lexicons. A joint paper with AskSenti was subsequently published in Proceedings of the International AAAI Conference on Web and Social Media (https://www.aaai.org/ocs/index.php/ICWSM/ICWSM18/paper/view/17859).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -